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Accelerated epigenetic age, inflammation, and gene expression in lung: comparisons of smokers and vapers with non-smokers.
Song, Min-Ae; Mori, Kellie M; McElroy, Joseph P; Freudenheim, Jo L; Weng, Daniel Y; Reisinger, Sarah A; Brasky, Theodore M; Wewers, Mark D; Shields, Peter G.
Afiliação
  • Song MA; Division of Environmental Health Sciences, College of Public Health, The Ohio State University, 404 Cunz Hall, 1841 Neil Ave., Columbus, OH, 43210, USA. Song.991@osu.edu.
  • Mori KM; Division of Environmental Health Sciences, College of Public Health, The Ohio State University, 404 Cunz Hall, 1841 Neil Ave., Columbus, OH, 43210, USA.
  • McElroy JP; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA.
  • Freudenheim JL; Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA.
  • Weng DY; Comprehensive Cancer Center, The Ohio State University and James Cancer Hospital, Columbus, OH, USA.
  • Reisinger SA; Comprehensive Cancer Center, The Ohio State University and James Cancer Hospital, Columbus, OH, USA.
  • Brasky TM; Comprehensive Cancer Center, The Ohio State University and James Cancer Hospital, Columbus, OH, USA.
  • Wewers MD; Comprehensive Cancer Center, The Ohio State University and James Cancer Hospital, Columbus, OH, USA.
  • Shields PG; Comprehensive Cancer Center, The Ohio State University and James Cancer Hospital, Columbus, OH, USA.
Clin Epigenetics ; 15(1): 160, 2023 10 11.
Article em En | MEDLINE | ID: mdl-37821974
BACKGROUND: Cigarette smoking and aging are the main risk factors for pulmonary diseases, including cancer. Epigenetic aging may explain the relationship between smoking, electronic cigarette vaping, and pulmonary health. No study has examined smoking and vaping-related epigenetic aging in relation to lung biomarkers. METHODS: Lung epigenetic aging measured by DNA methylation (mAge) and its acceleration (mAA) was assessed in young (age 21-30) electronic cigarette vapers (EC, n = 14, including 3 never-smoking EC), smokers (SM, n = 16), and non-EC/non-SM (NS, n = 39). We investigated relationships of mAge estimates with chronological age (Horvath-mAge), lifespan/mortality (Grim-mAge), telomere length (TL-mAge), smoking/EC history, urinary biomarkers, lung cytokines, and transcriptome. RESULTS: Compared to NS, EC and SM had significantly older Grim-mAge, shorter TL-mAge, significantly accelerated Grim-mAge and decelerated TL-mAge. Among SM, Grim-mAA was associated with nicotine intake and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL). For EC, Horvath-mAA was significantly correlated with puffs per day. Overall, cytokines (IL-1ß, IL-6, and IL-8) and 759 transcripts (651 unique genes) were significantly associated with Grim-mAA. Grim-mAA-associated genes were highly enriched in immune-related pathways and genes that play a role in the morphology and structures of cells/tissues. CONCLUSIONS: Faster lung mAge for SM is consistent with prior studies of blood. Faster lung mAge for EC compared to NS indicates possible adverse pulmonary effects of EC on biological aging. Our findings support further research, particularly on epigenetic markers, on effects of smoking and vaping on pulmonary health. Given that most EC are former smokers, further study is needed to understand unique effects of electronic cigarettes on biological aging.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas Eletrônicos de Liberação de Nicotina / Fumantes Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas Eletrônicos de Liberação de Nicotina / Fumantes Idioma: En Ano de publicação: 2023 Tipo de documento: Article